Long Short-Term Human Motion Prediction in Human-Robot Co-Carrying-Reference-Cited by-同舟云学术

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Long Short-Term Human Motion Prediction in Human-Robot Co-Carrying

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Robotics and Mechatronics (ICARM)
language:
Short-container-title:

Author:

Liu Sisi¹,Ye Kaihang²,Geng Mengda²,Yu Xinbo¹,Xing Yi²,Li Guoliang²,He Wei¹

Affiliation:

1. School of Intelligence Science and Technology, University of Science and Technology Beijing,Beijing Advanced Innovation Center for Materials Genome Engineering,Beijing,China,100083

2. School of Energy and Environmental Engineering, University of Science and Technology Beijing,Beijing,China,100083

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Municipal Science and Technology

China Postdoctoral Science Foundation

Fundamental Research Funds for the China Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218726/10218397/10218927.pdf?arnumber=10218927

Reference27 articles.

1. Deep amended COPERT model for regional vehicle emission prediction

2. Improving performance of robots using human-inspired approaches: a survey

3. Continuous Gait Phase Recognition and Prediction Using LSTM Network Across Walking Speeds and Inclinations

4. Deep Learning Based Human-Robot Co-Manipulation for a Mobile Manipulator

5. Human-in-the-Loop Control of a Wearable Lower Limb Exoskeleton for Stable Dynamic Walking

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